Security Scan Report: grim-chocolate-ntzzfhwz-dpxk9pcfu4c2.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 13 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://grim-chocolate-ntzzfhwz-dpxk9pcfu4c2.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site impersonates Google on an unknown, low‑rank subdomain; high risk of phishing despite no forms.

Risk Factors (5)
Brand impersonation of a major brand (Google)
Low domain ranking (455 k) for a brand‑related site
Unknown subdomain age on a hosting platform
Hosting on edgeone.app subdomain (generic, untrusted)
Absence of legitimate brand verification
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Domain Name Analysis

The domain name 'grim-chocolate-ntzzfhwz-dpxk9pcfu4c2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'grim-chocolate-ntzzfhwz-dpxk9pcfu4c2'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grim-chocolate-ntzzfhwz-dpxk9pcfu4c2.edgeone.app/

Page Load Overview

0.88s
Total Load Time
376 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:866 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

technology software87% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
87%
education learning
71%
government public service
62%
healthcare medical
60%
documentation technical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.152.26.58Singapore
131--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FF2957933483D2DA44787E8F790BB69526DD382FA5BD46CB2BC417127C3C88AC176A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tPqR2jrMBBNIHrrrrdrrrr/rrrrOrfr2rVYrW3Y7HZkeMF:cBmrrrrdrrrr/rrrrOzyhYC/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36265:IEAqgAACYReGSEAYESnAkCmARICGYmlNCJUgTKIACEdBojeFBDIiHUJAchExJwigAAAGgAwkKkihUAEohcsOCJGQMCIqqCBX

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffb1f1b1f1ffffff
Perceptual Hash:ee6c91939292d1e9
Difference Hash:2127276767020823
Wavelet Hash:b4808191f1ffe783
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data